CurveFitter

This software can help regression analysis to fit a curve through a set of data points.

It will fit thousands of data into your equations in seconds. This tool can provide scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations that might never have been considered. It is possible to build equation sets which can include a wide array of linear and nonlinear models for an application. This tool will be able to handle any user-defined equations of up to nine parameters and eight variables. These equations could be linear, nonlinear exponential, logarithmic and power equations. The underlying math emulator is capable of handling 38 digit precision for fitting high order polynomial and rational coefficients. The analyzer is able to do nonlinear fitting taking into account outliers and a wide dynamic Y data range. The CurveFitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error once your data have been fitted.

CurveFitter offers a simple interface for all aspects of operation; from data import to output of results. It is possible to import data in text format. Once the data has been imported you can create a custom equation set and start the automatic fitting process. All it takes is a single mouse click. CurveFitter is simple to learn. Standard functions used are available. Built-in functions take a single numeric argument, enclosed in parentheses after the name of the function. The program is case-sensitive, so make sure you type function names exactly as you see them above. You can save (in text files) different parts of a model or a model in a whole, and correspondingly load them later in order to see the data and graph. This is a very good product. If you are looking for a similar solution, you should try it in your exact workflow.

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.
Fit thousands of data into your equations in seconds:
CurveFitter gives scientists, researchers and engineers the power to find the ideal model for even the most complex data, including equations that might never have been considered. You can build equation set which can include a wide array of linear and nonlinear models for any application. Its state-of-the-art data fitting includes the following capabilities:
*Any user-defined equations of up to nine parameters and eight variables.
*Linear equations.
*Nonlinear exponential, logarithmic and power equations.
*A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
Graphically Review Curve Fit Results:
Once your data have been fit, CurveFitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. A residual graph as well as parameter output is generated for the selected fitted equation within the Review Curve Fit window.
With All This Power, it is Still Easy to Use:
CurveFitter takes full advantage of the Windows user interface to simplify every aspect of operation -- from data import to output of results. Import data from txt format. Once your data are in the editor, create a custom equation set and start the automatic fitting process with a single mouse click. CurveFitter is highly intuitive, easy-to-use and remarkably simple to learn.